Optimization-based methods consistently produce outputs of higher visual quality than fast feed-forward methods, therefore each family of techniques is generally benchmarked separately. However, while we group these methods in Table REF , we compare both variants of our method to both families of technique. For optimization-based methods we benchmark against Gatys [1]}, CNNMRF [2]}, Deep Image Analogies (DIA) [3]}, and STROTSS [4]}. We were unable to run the official code for CNNMRF and Deep Image Analogies, and re-implemented their methods. For fast feed-forward methods we benchmark against WCT [5]}, AvatarNet [6]}, MST [7]}, and ArtFlow [8]}.
